Press ESC to close

What is Google Gemini?

The AI intelligence race continues unabated. Google has responded to OpenAI’s GPT-4 with Google Gemini.

We asked Google about what Gemini is, and here is their response.

Google Gemini is a set of large language models (LLMs) with impressive capabilities, aiming to be a game-changer in the field of artificial intelligence. Here’s what we know about it so far:


  • Multimodal: Gemini can process and understand information from various sources, including text, images, code, and data. This allows it to perform complex tasks like translating languages, generating creative content, and solving problems.
  • Efficient: Google has applied techniques used in AlphaGo, including reinforcement learning and tree search, to make Gemini highly efficient. This means it can handle large amounts of data and complex tasks with minimal resources.
  • Future-proof: Gemini is designed to support future innovations in AI, like memory and planning. This means it has the potential to be a powerful tool for developers and researchers.
  • Diverse: Gemini will be available in various sizes and capabilities, similar to PaLM 2, making it accessible to different user needs.

Current Status:

  • Gemini was announced at Google I/O 2023 and is still under development.
  • Google released promotional videos showcasing its capabilities, including solving student homework and generating creative content.
  • Public launch is expected in early 2024 after rigorous testing and safety assessments.

Potential Impact:

  • Gemini has the potential to revolutionize various industries, including education, healthcare, and entertainment.
  • Its ability to handle complex tasks efficiently could lead to new innovations and breakthroughs.
  • Google’s commitment to responsible AI development suggests Gemini will be used ethically and safely.

Comparing ChatGPT versus Gemini

Gemini’s answer

ChatGPT-4 and Gemini are the latest generation of large language models (LLMs) from OpenAI and Google AI, respectively. Both models boast impressive capabilities and are poised to revolutionize various industries. Here’s a breakdown of their strengths and weaknesses across key areas:


ModalityText-basedMultimodal (text, code, images, audio, video)
EfficiencyHighly efficient with improved architectureHighly efficient leveraging AlphaGo techniques
FocusNatural language processing, text generation, and translationMulti-purpose, including reasoning, code generation, problem-solving, and creative content
AccessibilitySingle versionAvailable in three variants: Nano, Pro, and Ultra
Underlying TechniquesTransformer architectureTransformer architecture combined with AlphaGo’s reinforcement learning and tree search


  • Limited direct comparisons available: While early benchmarks suggest Gemini might outperform ChatGPT-4 in some areas, comprehensive performance comparisons are still lacking.
  • Expected improvements in both models: Both models are constantly learning and improving, making it difficult to predict a definitive winner in the long run.
  • Potential edge for Gemini: Gemini’s multimodal capabilities and AlphaGo-inspired efficiency could give it an edge in tasks involving various information sources and complex computations.

Current Status:

  • ChatGPT-4: Still under development with limited access through OpenAI’s API.
  • Gemini: Gemini Nano is already available on Pixel 8 devices, while Pro and Ultra versions are under development with an expected public launch in early 2024.

Potential Impact:

  • ChatGPT-4: Expected to significantly impact industries like writing, marketing, and education due to its advanced text generation and translation capabilities.
  • Gemini: Has the potential to revolutionize multiple industries, from education and healthcare to entertainment and scientific research, with its broader range of capabilities and multimodal understanding.

Capabilities of Gemini

Gemini is a highly capable large language model with a diverse range of potential applications. Here’s an overview of what it can do and its estimated capacity:

Natural Language Processing (NLP)

  • Text generation (writing different kinds of creative content, translating languages, generating different creative text formats)
  • Summarization and question answering
  • Sentiment analysis and emotion detection
  • Text classification and topic modeling

Code Generation

  • Writing different kinds of code in various programming languages
  • Debugging and fixing existing code
  • Automating coding tasks


  • Analyzing complex data sets and generating insights
  • Identifying patterns and trends
  • Predicting future outcomes

Creative Content Generation

  • Writing poems, scripts, musical pieces, email, letters, etc.
  • Generating images and other creative visuals

Multimodal Capabilities

  • Processing and understanding information from various sources:
    • Text
    • Images
    • Code
    • Data
    • Audio
    • Video
  • Performing complex tasks involving multiple information sources:
    • Generating multimedia presentations
    • Creating interactive experiences
    • Developing new AI applications

Estimated Capacity

  • Current versions:
    • Gemini Nano: 137B parameters, capable of basic NLP tasks and creative content generation.
    • Gemini Pro: 1.5T parameters, designed for advanced NLP tasks, code generation, and problem-solving.
  • Future versions:
    • Gemini Ultra: 175T parameters, expected to push the boundaries of LLM capabilities and tackle even more complex and demanding tasks.

It’s important to note that Gemini is still under development and its capabilities are constantly evolving. However, the current and planned versions showcase its immense potential to revolutionize various industries and fields.

Here are some specific examples of how Gemini can be used:

  • Education: Generate personalized learning materials, provide feedback on student work, and answer complex questions.
  • Healthcare: Analyze medical data to identify potential diagnoses, develop personalized treatment plans, and provide patient support.
  • Entertainment: Generate scripts for movies and TV shows, create interactive games and experiences, and write personalized stories.
  • Science and Research: Analyze large datasets, generate new research hypotheses, and develop innovative solutions to complex problems.
  • Business: Generate marketing materials, automate tasks, and provide customer service.

Experience up to a 5x increase in your Google Search
campaigns’ effectiveness with Adsby.
@Katen on Instagram
[instagram-feed feed=1]